Evidence map›Paper›PMID 41358131›Full record

ArticleACS omega2025

Systematic Optimization of Fluorogenic ARGET ATRP toward Rapid and Oxygen-Tolerant Analyte Detection.

Jordan B McMurry, Jose Ricardo Dos Remedios, Nicholas L Cipolla, Max Chamoun, Christina B Cooley

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jordan B McMurryDepartment of Chemistry, Trinity University, One Trinity Place, San Antonio, Texas 78212, United States.
Jose Ricardo Dos RemediosDepartment of Chemistry, Trinity University, One Trinity Place, San Antonio, Texas 78212, United States.ORCID https://orcid.org/0009-0003-5454-584X
Nicholas L CipollaDepartment of Chemistry, Trinity University, One Trinity Place, San Antonio, Texas 78212, United States.ORCID https://orcid.org/0009-0002-3287-8574
Max ChamounDepartment of Chemistry, Trinity University, One Trinity Place, San Antonio, Texas 78212, United States.
Christina B CooleyDepartment of Chemistry, Trinity University, One Trinity Place, San Antonio, Texas 78212, United States.ORCID https://orcid.org/0000-0001-9699-7682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensitive analyte detection requires the rapid amplification of small molecular interactions into observable macro readouts. Fluorogenic activators regenerated by electron transfer atom transfer radical polymerization (ARGET ATRP) afford real-time, visible fluorescence generation as a function of polymerization initiator (or analyte) concentration, as dark, nonfluorescent monomers reveal their fluorescence upon incorporation into the growing polymer chain. Though encouraging, the practicality of the initially developed fluorogenic ARGET ATRP platform is severely limited by long reaction times and the sensitivity to oxygen, precluding its development for bioanalyte detection applications. This paper describes a systematic optimization study to probe the effect of several fluorogenic ARGET ATRP reaction variables, evaluating the effects of surfactant, catalyst loading, halide salt, and reaction solvent on fluorescence generation. Combining the effects of optimized individual reaction components affords a significant increase in both the rate and magnitude of fluorescence generation and renders the optimized platform tolerant to ambient oxygen, able to reliably detect initiator or model analyte when conducted in open air. Taken together, these dramatic strides in the optimization of fluorogenic ARGET ATRP open the door to applications for rapid bioanalyte detection.

Identifiers

PMID41358131
PMCPMC12676337

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.